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9917

中保科 Other As of 2026-06-17 Updated daily after market close

steady quality, fair valuation.

1 active signal
252d high
This page refreshes daily after the close. Add 中保科 to your watchlist to track signal changes on your next visit.
Valuation 57Quality 82Growth 36Momentum 45Chips 51

Is 中保科 a buy? Fundamentals and valuation first

  • Above-average profitability.Operating margin is in the 80th market percentile. Latest quarterly ROE ≈ 5.0%.

  • Valuation is neutral.PE is in the 36th market percentile; within its own history, PE is around the 39th percentile.

  • Foreign investors are net buying.Foreign 20-day net flow ≈ 0.5% of volume (net buy).

  • Signals are active now.On the latest data, signals such as 252-day price high are active — see the historical forward returns after each occurrence below.

Chip flow

Bullish +0.25
BearishNeutralBullish

Institutional rotation, concentration steady — bullish

  • Institutional rotation, concentration steady — bullish
  • 福邦證券 holds 593 lots
  • sellers have 960 lots left, ~96 sessions to clear

Window from 2026-01-17 · Price +8% · branches to 2026-06-17· TDCC to 2026-06-12

  • Largest holder 福邦證券 has accumulated 593 lots since the start (sold 0%), still adding.
  • Main distributor 新加坡商瑞銀 peaked at 1,021 lots, has sold 53%, 482 left, ~12 sessions to clear at the recent pace.
  • TDCC big holders (absolute) >1000-lot holders -0.42pp, mid holders +6, retail -0.46pp — little change.
  • Foreign hedge-desk net short Net short -723 lots (inferred from branch profile, mostly hedging — not necessarily bearish, not case-confirmed).
Branch inventory reconstruction
Accumulating holders Branches that accumulated shares during the window and still hold positive inventory; they are the absorbing side.
Distributing sellers Branches that built inventory earlier and have been selling it down; the remaining number estimates what has not cleared.
Net-short desks Trading-desk branches with negative inventory or net selling, often hedge, offsetting, or short-term flow. It is not automatically a bearish view.
Accumulating
福邦證券花旗環球華南永昌凱基-台北陽信-石牌宏遠證券
Distributing
新加坡商瑞銀摩根大通美林港商野村國泰-板橋合庫-台中
Desks
own scale
永豐金-匯立群益金鼎統一元大-大雅
Price Accumulating & Distributing share one scale (comparable); Desks is independent. Zero is the baseline
Branch details Unit: lots

Accumulating

  • 福邦證券 +593
    sold 0%· still adding
  • 花旗環球 +501
    sold 1%· still adding
  • 華南永昌 +438
    sold 0%
  • 凱基-台北 +369
    sold 12%· still adding
  • 陽信-石牌 +360
    sold 0%
  • 宏遠證券 +350
    sold 0%· still adding

Distributing

  • 新加坡商瑞銀 482 left
    sold 53%· ~12 sessions to clear
  • 摩根大通 267 left
    sold 37%· paused recently
  • 美林 240 left
    sold 38%· ~96 sessions to clear
  • 港商野村 140 left
    sold 54%· ~19 sessions to clear
  • 國泰-板橋 127 left
    sold 49%· paused recently
  • 合庫-台中 62 left
    sold 39%· ~16 sessions to clear

Desks

  • 永豐金-匯立 -736
    unclassified
  • 群益金鼎 -566
    unclassified
  • 統一 -445
    unclassified
  • 元大-大雅 -378
    unclassified
Still selling 960 lots ~96 sessions to bottom at most
Recent buy/sell force +3,440 absorbed / -620 sold buyers slightly ahead
Hedge-desk net short -643 lots potential cover-buying, not selling pressure
TDCC big holders · absolute-holding cross-check
>1000-lot holder share Retail (<400 lots) share Price (right axis)

Mixed direction: big-holder and retail changes are not aligned.

Describes chip flow, not investment advice. Branch data discloses only high-volume branches with ~1-day lag; TDCC is weekly. Inventory is a relative reconstruction from the window start, not absolute holdings.

Historical evidence

Signals active now

These signals are true on the latest data, with this stock's own historical forward-return stats after each occurrence.

252-day price high (breakout)

Active

Adjusted close makes a new 252-day high; repeats within 20 days counted once.

52 historical occurrences (since 2008-05-20)
Average forward return after 252-day price high (breakout)。20-day: Win 49%, Sample 51, Median -0.13%, Excess +0.76%, Beat mkt rate 52.9%；60-day: Win 66.7%, Sample 51, Median +1.5%, Excess +0.62%, Beat mkt rate 52.9%；120-day: Win 72.5%, Sample 51, Median +4.3%, Excess +1.02%, Beat mkt rate 58.8%

120 days after: historical avg +3.93%

20-day +0.4%
60-day +1.45%
120-day +3.93%
20-day
60-day
120-day
Win
49%
66.7%
72.5%
Sample
51
51
51
Median
-0.13%
+1.5%
+4.3%
Excess
+0.76%
+0.62%
+1.02%
Beat mkt rate
52.9%
52.9%
58.8%

Over 51 occurrences, 120-day forward avg gained 3.93%, beat the market by 1.02 pts; win rate 72.5%.

Valuation regime and subsequent returns

Each day's PE is converted to its own-history percentile (as of that day), then we look at adjusted-close returns over the next 240 trading days by valuation regime.

PE percentile bandSample days240-day avg returnMedianWin rateAvg excess (vs index)
0-20 9Insufficient data
20-40 You are here271+18.3% +19.5% 100% +2.7%
40-60 702+10.1% +6.6% 94% -15.3%
60-80 601+10% +6.2% 82.5% -10.3%
80-100 1460+6.3% +4.1% 77.8% -4.4%

Percentiles use an expanding own-history window (no look-ahead); forward return is 240 trading days on adjusted close. Sample days overlap; distribution is indicative only.

Current PE ≈ 17.33, at the 39.1th percentile of its own history (20-40 band).

Valuation × momentum historical grid

Every day in its own history is bucketed by valuation tercile (own-history PE) and 60-day momentum sign into six cells; we show adjusted-close returns over the next 120 trading days per cell.

Valuation
Momentum
Cheap (own-history bottom 1/3)
Mid
Expensive (own-history top 1/3)
60-day momentum up
+11.3%
Win rate 74.5% Excess -5.1%
55d
Now
+4.3%
Win rate 78% Excess -3.6%
728d
+3.9%
Win rate 71.1% Excess -0.5%
1310d
60-day momentum down
+9.8%
Win rate 90.2% Excess -22.3%
123d
+3.6%
Win rate 66.4% Excess -11.4%
411d
+4.4%
Win rate 79.3% Excess -3.3%
536d

Currently in “Mid × 60-day momentum up”: across 728 historical days, 120-day forward avg gained 4.3%, win rate 78%, lagged the market by 3.6%.

Days = trading days in this bucket; returns use adjusted prices, ex-costs. 60-day momentum: direction of this stock's price over the past 60 trading days.

Signals not active (historical stats for reference)

These are not occurring now; historical samples shown for comparison.

Monthly revenue YoY ≥ 20% (from filing deadline)

Pending

Monthly revenue YoY ≥ 20%; event date is the first trading day after the filing deadline (no look-ahead).

Foreign net buying for 5 straight days

Pending

Foreign net flow (ex-dealer) positive for 5 straight days; event on day 5; repeats within 20 days counted once.

66 times historically; 60-day forward avg +1.97%, win rate 66.2%, beating the market by -0.5 pts on average.

What does 中保科 do? Company profile

其他業；保全服務、科技系統保全、AIoT智慧城市與智慧交通服務 台灣證券交易所上市

Overview

9917 對應證券為台灣證券交易所上市普通股「中保科」，公司全名為中興保全科技股份有限公司。公司成立於1977/11/08，掛牌上市日期為1993/12/08，總部位於台北市南港區經貿二路135號13樓；董事長兼總經理為林建涵，發言人為張惠清。Yahoo股市與Goodinfo資料顯示實收股本約45.1197億元、已發行普通股451,197,093股，主要經營業務為保全業；Goodinfo另列主要業務為防盜、防火、防災安全防護、系統諮詢顧問與設備整合技術服務、現金或貴重物品運送及人身安全維護。Investing.com列示ISIN為TW0009917005、員工數約10,320人；主要持有人資料列SECOM CO., LTD.持股28.54%、Chengxin Investment Co., Ltd.持股4.87%。2025全年合併營收約190.05億元、EPS 6.77元；2026年1至5月累計營收約78.67億元、年增1.43%；2026年股利所屬期間2025之現金股利5.70元、股票股利0.50元。

Business

中保科由傳統保全公司轉型為科技保全與智慧城市服務商，商業模式以長約、訂閱、設備建置與維運、系統整合、監控中心服務及專案標案收入為主，具有經常性現金流特性。核心服務包含個人家庭之家庭保全、智慧居家、居家防火、電子鎖、金庫、智慧樓管、物業管理APP、AED、智慧照顧、雲端健康照顧、衛星定位協尋及獨居長者緊急救援；企業商用之商用保全、門禁考勤、資安、智慧商店、智慧監控、AI影像、車牌辨識、人臉辨識、安心眼與車隊管理；整合服務包含AI智慧城、AI無人機巡檢、智慧交通、智慧校園、智慧機場、智慧園區、智慧港口、整合管理平台、智慧綠建築、防災管理系統、防火智慧+與節能服務。2025年12月法說會揭露前三季三大亮點事業群：中保無限+營收49.14億元、占35%、年增5%；運鈔服務含立保保全與立保科技營收12.33億元、占9%、年增15%；智慧城市與智慧停車場營收15.15億元、占11%、年增3%；防災控制機電+系統營收14.91億元、占11%、年增20%。立保保全提供ATM填補鈔、運鈔、彩券運送、貴重品運送，服務金融機構、連鎖超商、公司行號、銀樓、百貨、證券業者等；國雲智慧停車以AI車牌辨識、地磁、智慧停車柱、無紙化繳費與地方政府標案切入智慧交通；立保科技則在自助設備、ATM維運、自動化商店與微型倉系統整合扮演角色。

Outlook 2025–2028

2025至2028年成長動能主要來自五條線：第一，既有系統保全、中保無限+與智慧樓管升級，受惠老舊建築防災、社區保全缺工與社區管理降本需求；公司2025年12月法說會指出全台30年以上老舊建築約550萬棟，並主推第三方消防監控預警系統、防火智慧+、居家住宅防災三寶與AI智慧樓管。第二，智慧城市與智慧交通由POC走向規模化建置，國雲停車已與台北市、新竹市、台中市、高雄市等政府場域合作，應用地磁、影像辨識、智慧停車柱、線上開單與多元支付；新竹市案例顯示已突破2,400席智慧停車柱，朝3,600席目標推進。第三，AI安防與智慧照護，中保科與啟碁科技合作AI雙模隱形守護系統，結合Wi-Fi Sensing與AI電力指紋辨識，對應超高齡社會、居家照護缺口與節能監控需求。第四，AI無人機與巡檢機器人，應用於防災、救災、工地巡檢、公共安全、智慧城市與公共建設維護；2026智慧城市展與COMPUTEX資料顯示公司展示無人機、AI安防機器人、自動化巡邏與NVIDIA運算相關應用。第五，無人店、微型倉、金流運補與設備維運，立保科技與統一超、工研院等合作自動化門市取貨微型倉，對應零售物流、缺工與包裹量成長。主要風險包括：保全與物業管理仍受人力成本、缺工、訓練與法規要求影響；智慧城市標案具預算循環、驗收與毛利波動；AI、無人機、影像辨識與個資資料處理面臨資安、隱私、禁飛區及監管限制；智慧停車與無人店需大量前期投資與維運；同業與科技系統整合商競爭；2028展望未見公司直接量化指引，屬依2026法說、新聞與已揭露專案動能推估。

Supply Chain

Upstream
  • 啟碁科技股份有限公司 6285 網路通訊解決方案供應商；與中保科策略研發合作AI雙模隱形守護系統，提供Wi-Fi感測、通訊與軟硬體技術。
  • 輝達（NVIDIA Corporation） 美國上市公司；中保科智慧城市展無人機平台資料提及搭配NVIDIA高性能運算與演算法，用於火煙偵測、裂痕偵測及入侵辨識。
  • 中華電信股份有限公司 2412 通訊與支付/系統合作方；國雲智慧停車資料提及攜手中華電信升級停車管理系統與多元支付服務。
  • 工業技術研究院 政府法人研究機構、非上市；在統一超微型倉專案中提供微型倉智慧調度技術，立保科技負責系統整合與場域維運。
  • 騰鴻系統 未確認上市櫃；統一超微型倉專案合作夥伴之一，參與設備建置、介面開發與系統串接。
Downstream
  • 統一超商股份有限公司 2912 下游客戶/合作場域；7-ELEVEN X-STORE與自動化門市取貨微型倉導入立保科技系統整合與維運能力。
  • 台北市政府 政府客戶/公私協力夥伴；智慧城市展共同策展，智慧停車、獨居老人緊急救援與智慧照護為合作場域。
  • 新竹市政府 政府客戶；國雲智慧停車協助智慧停車柱突破2,400席，推動智慧裝卸貨車格與智慧家長接送區。
  • 台中市政府 政府客戶/合作場域；國雲智慧停車與台中市共同展示智慧停車、地磁及AI科技服務。
  • 高雄市政府 政府客戶/合作場域；智慧交通與智慧停車系統導入城市治理應用。
  • 金融機構、醫院、餐廳、賣場、超商、通路與社區管委會 主要終端客戶族群；使用運鈔、ATM維運、無人店、自助設備、智慧樓管、保全、防災與智慧照護服務，個別客戶未完整揭露。

Competitors

  • 台灣新光保全股份有限公司 9925 台股上市保全同業，為中保科在系統保全、駐衛保全與安全服務市場的主要競爭者。
  • 東京都保全股份有限公司 未上市保全與物業管理業者，競爭範圍偏駐衛保全、物業與社區服務。
  • 歐特儀股份有限公司 未上市智慧停車與停車場管理業者，與中保科旗下國雲智慧停車在智慧停車、路邊停車與停車場營運標案競爭。
  • 台灣聯通停車場開發股份有限公司 未上市停車場營運業者，與國雲智慧停車在停車場管理與地方政府停車服務上競爭。
  • 傳統系統整合商與資通訊設備商 在智慧城市、AI影像、門禁、監控、無人機巡檢與AIoT專案標案中可能構成競爭；個別公司依標案而異。
Sources（15）

This company profile is compiled from public sources (annual reports, filings, news and analyst reports), not finlab backtest data; the 2025–2028 outlook contains forward-looking estimates and is for reference only.

Method and limitations

  • All returns use adjusted close (etl:adj_close), already adjusted for dividends and splits.
  • Excess return is measured against the TAIEX total-return index (dividends included).
  • Valuation regime and percentile stats use an expanding own-history window (no future data).
  • Revenue-signal event dates align to the first trading day after the filing deadline, avoiding look-ahead.
  • Event samples may overlap in time; stats describe historical distribution only and are less reliable when samples are few.

This page is historical statistics for educational purposes and is not investment advice. Investing involves risk; past performance does not indicate future results. Assess and bear the risk yourself before trading.